Complete Gemini Course: Build GenAI Apps with Streamlit

Build Interactive GenAI Apps with Gemini, Python, Streamlit and Google AI Studio

[b]What you'll learn[/b]

Understand the fundamentals of Google's Gemini AI model
Navigate and utilize the Google AI Studio interface efficiently
Grasp advanced concepts and features of Google AI Studio
Set up and manage Google AI Studio API keys
Develop a GenAI project using Gemini, Python and Streamlit
Create an AI agent for generating blog posts
Integrate Gemini AI with other applications seamlessly
Apply AI principles to real-world scenarios and projects

[b]Requirements[/b]

No programming experience needed. You will learn everything you need to know
All you need is a computer with internet access and a passion for learning AI
Basic familiarity with Python is helpful but not required (Python Basics is covered in the Appendix section)

[b]Description[/b]

Complete Gemini Course: Build GenAI Apps with Streamlit

Unlock the potential of Google's Gemini AI model with our comprehensive beginner-friendly course! Designed for enthusiasts at all levels, this course will guide you through the fascinating world of Gemini, Generative AI, and Large Language Models (LLMs) using Google AI Studio, Python and Streamlit.

What You'll Learn:

Introduction: Begin with an overview of the course and discover the potential of data science through interactive applications.
Understanding LLMs and Gemini: Dive deep into LLMs, explore the evolution of Gemini, and learn how to utilize its features within the Google ecosystem.
Google AI Studio and Python Integration: Master both basic and advanced features of Google AI Studio, secure your Gemini API key, and build a Python-powered blog post generator.
Setting Up Your Development Environment: Get hands-on with setting up essential libraries in PyCharm and Jupyter Notebook on both Mac and Windows platforms.
Introduction to Streamlit: Learn how to use the Streamlit framework to create dynamic data applications with widgets and visualizations.
Hands-On Project: Rebuild the blog post generator app using Streamlit, adding image input functionality to showcase Gemini's multimodal capabilities.
Conclusion: Explore additional project ideas to further apply your newly acquired skills and reinforce your learning.
Extra: Python Basics
Includes a helpful appendix on setting up your Python environment, understanding variables, data types, basic arithmetic, and string manipulation.

Have you ever wondered what terms like Gemini, Generative AI, and LLMs mean? Are you curious about how these cutting-edge technologies can be harnessed for real-world applications? If so, this course is perfect for you. You'll gain a solid understanding of these concepts and learn how to leverage Gemini to its fullest potential.

Whether you're a seasoned professional looking to expand your AI toolkit or a beginner eager to explore the world of artificial intelligence, this course offers valuable insights and practical skills. By the end of this course, you'll have a solid grasp of Google's Gemini AI model and how to use it effectively in your GenAI apps. Join us and embark on a journey to master Google's Gemini AI model with Python and Streamlit.

Who this course is for:

Anyone who wants to learn Google's Gemini AI Model
Beginner Python Developers curious about Gemini AI model
AI Beginners who want to gain hands-on experience with AI tools and techniques
Content Creators and Bloggers aiming to leverage AI for generating high-quality blog posts and content

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